Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine
Abstract 2). PL density and distribution match well with the benchmark. However, the false positives (30 % to 50 % of cases) are challenging to filter, especially when they correspond to riverbank erosions or cultivated land.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine ; volume:23 ; number:7 ; year:2023 ; pages:2625-2648 ; extent:24
Natural hazards and earth system sciences ; 23, Heft 7 (2023), 2625-2648 (gesamt 24)
- Urheber
- DOI
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10.5194/nhess-23-2625-2023
- URN
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urn:nbn:de:101:1-2023072704255858506983
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:51 MESZ
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Beteiligte
- Notti, Davide
- Cignetti, Martina
- Godone, Danilo
- Giordan, Daniele
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